Adams, Ryan

18 publications

ICML 2020 Amortized Finite Element Analysis for Fast PDE-Constrained Optimization Tianju Xue, Alex Beatson, Sigrid Adriaenssens, Ryan Adams

UAI 2019 The 35th Uncertainty in Artificial Intelligence Conference: Preface Ryan Adams, Vibhav Gogate

ICML 2016 Predictive Entropy Search for Multi-Objective Bayesian Optimization Daniel Hernandez-Lobato, Jose Hernandez-Lobato, Amar Shah, Ryan Adams

ICML 2016 The Segmented iHMM: A Simple, Efficient Hierarchical Infinite HMM Ardavan Saeedi, Matthew Hoffman, Matthew Johnson, Ryan Adams

ICML 2015 Celeste: Variational Inference for a Generative Model of Astronomical Images Jeffrey Regier, Andrew Miller, Jon McAuliffe, Ryan Adams, Matt Hoffman, Dustin Lang, David Schlegel, Mr Prabhat

ICML 2015 Gradient-Based Hyperparameter Optimization Through Reversible Learning Dougal Maclaurin, David Duvenaud, Ryan Adams

ICML 2015 Predictive Entropy Search for Bayesian Optimization with Unknown Constraints Jose Miguel Hernandez-Lobato, Michael Gelbart, Matthew Hoffman, Ryan Adams, Zoubin Ghahramani

ICML 2015 Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks Jose Miguel Hernandez-Lobato, Ryan Adams

ICML 2015 Scalable Bayesian Optimization Using Deep Neural Networks Jasper Snoek, Oren Rippel, Kevin Swersky, Ryan Kiros, Nadathur Satish, Narayanan Sundaram, Mostofa Patwary, Mr Prabhat, Ryan Adams

ICML 2014 Discovering Latent Network Structure in Point Process Data Scott Linderman, Ryan Adams

ICML 2014 Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball Andrew Miller, Luke Bornn, Ryan Adams, Kirk Goldsberry

ICML 2014 Input Warping for Bayesian Optimization of Non-Stationary Functions Jasper Snoek, Kevin Swersky, Rich Zemel, Ryan Adams

ICML 2014 Learning Ordered Representations with Nested Dropout Oren Rippel, Michael Gelbart, Ryan Adams

ICML 2014 Learning the Parameters of Determinantal Point Process Kernels Raja Hafiz Affandi, Emily Fox, Ryan Adams, Ben Taskar

ICML 2013 Gaussian Process Kernels for Pattern Discovery and Extrapolation Andrew Wilson, Ryan Adams

AISTATS 2012 On Nonparametric Guidance for Learning Autoencoder Representations Jasper Snoek, Ryan Adams, Hugo Larochelle

AISTATS 2012 Randomized Optimum Models for Structured Prediction Daniel Tarlow, Ryan Adams, Richard Zemel

AISTATS 2010 Elliptical Slice Sampling Iain Murray, Ryan Adams, David MacKay